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Credit Card Redlining Revisited*

* This paper is a replication of an original study

Author

Listed:
  • Kenneth P. Brevoort

    (Board of Governors of the Federal Reserve System)

Abstract

Using a proprietary data set of credit bureau records, Cohen-Cole (2011) finds evidence that lenders are using the racial composition of a borrower's neighborhood to set credit limits on revolving accounts. Using the same credit bureau data, I revisit this work and reach two main findings. First, an undocumented decision in constructing the variables appears to have introduced a distortion that is highly correlated with neighborhood racial composition and appears to increase the size of the reported disparity. Second, when neighborhood income is controlled for, the results presented as evidence of redlining disappear.

Suggested Citation

  • Kenneth P. Brevoort, 2011. "Credit Card Redlining Revisited," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 714-724, May.
    • Handle: RePEc:tpr:restat:v:93:y:2011:i:2:p:714-724
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    Citations

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    Cited by:

    1. Sumit Agarwal & Gene Amromin & Itzhak Ben-David & Douglas D. Evanoff, 2016. "Loan Product Steering in Mortgage Markets," NBER Working Papers 22696, National Bureau of Economic Research, Inc.
    2. Gathergood John, 2011. "Racial Disparities in Credit Constraints in the Great Recession: Evidence from the UK," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-32, September.
    3. Ryan M. Goodstein & Alicia Lloro & Sherrie L.W. Rhine & Jeffrey M. Weinstein, 2021. "What accounts for racial and ethnic differences in credit use?," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(2), pages 389-416, June.
    4. Joanna P. Ganning & Timothy Green, 2021. "The online marketplace: Zero‐order city or new source of social inequality?," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1251-1270, September.
    5. Song Han & Benjamin J. Keys & Geng Li, 2011. "Credit supply to personal bankruptcy filers: evidence from credit card mailings," Finance and Economics Discussion Series 2011-29, Board of Governors of the Federal Reserve System (U.S.).
    6. Joanna Stavins, 2020. "Credit Card Debt and Consumer Payment Choice: What Can We Learn from Credit Bureau Data?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 58(1), pages 59-90, August.
    7. Robert M. Hunt & Keith Wardrip, 2013. "Residential Migration, Entry, and Exit as Seen Through the Lens of Credit Bureau Data," Consumer Finance Institute discussion papers 13-4, Federal Reserve Bank of Philadelphia.
    8. Madeleine I. G. Daepp, 2022. "Small-area moving ratios and the spatial connectivity of neighborhoods: Insights from consumer credit data," Environment and Planning B, , vol. 49(3), pages 1129-1146, March.
    9. Valentina Dimitrova-Grajzl & Peter Grajzl & A. Joseph Guse & Richard M. Todd & Michael Williams, 2018. "Neighborhood Racial Characteristics, Credit History, and Bankcard Credit in Indian Country," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(3), pages 410-441, September.
    10. Simon Firestone, 2014. "Race, Ethnicity, and Credit Card Marketing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(6), pages 1205-1224, September.
    11. Krimmel, Jacob, 2018. "Persistence of Prejudice: Estimating the Long Term Effects of Redlining," SocArXiv jdmq9, Center for Open Science.

    Replication

    This item is a replication of:
  • Ethan Cohen-Cole, 2011. "Credit Card Redlining," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 700-713, May.

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    1. Credit Card Redlining Revisited (REStat 2011) in ReplicationWiki

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